Machine Learning Engineer Nanodegree - Udacity Program

This project deploys a dog breed classifier that take a user-input image and perform classification based-on pre-trained CNN models (VGG-16, Inception-v3, Resnet-50) provided by Pytorch.

Achieved accuracy: 83%

For more information, please refer to the proposal the the notebooks (including data exploration and model traning)

git clone https://github.com/xzZero/Dog_Breed_Classifier.git

This project uses the following software and Python libraries:

• Python
• NumPy
• pandas
• scikit-learn
• OpenCV
• Pytorch
• Python Image Library - PIL